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There is https://speed.python.org/comparison/ to compare Python 2.7, 3.5, 3.6 and master (future 3.7).

Victor

Le 31 janv. 2018 13:14, "Ray Donnelly" <mingw.android@gmail.com> a écrit :

On Wed, Jan 31, 2018 at 11:16 AM, Joni Orponen <j.orponen@4teamwork.ch> wrote:
\> On Wed, Jan 31, 2018 at 9:31 AM, Ray Donnelly <mingw.android@gmail.com>
\> wrote:
\>>
\>> We see a 1.1 to 1.2 times performance benefit over official releases as
\>> measured using 'python performance'.
\>>
\>> Apart from a static interpreter we also enable LTO and PGO and only build
\>> for 64-bit so I'm not sure how much each bit continues. Our recipe for
\>> python 3.6 can be found at:
\>
\>
\> Do you metrify LTO and PGO independent of each other as well or only the
\> "enable everything" combo? I've had mixed results with LTO so far, but this
\> is probably hardware / compiler combination specific.

I've never found enough time to take detailed metrics, sorry. Maybe
one day? Looking at my performance graphs again:

Against the official CPython 3.6 (probably .3 or .4) release I see:
1 that is 2.01x faster (python-startup, 24.6ms down to 12.2ms)
5 that are >=1.5x,<1.6x faster.
13 that are >=1.4x,<1.5x faster.
21 that are >=1.3x,<1.4x faster.
14 that are >=1.2x,<1.3x faster.
5 that are >=1.1x,<1.2x faster.
0 that are < 1.1x faster/slower.

Pretty good numbers overall I think.




\>
\> --
\> Joni Orponen
\>
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